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I think you're wrong. The tooling around training ML is becoming progressively more accessible, so much so that within ten years you won't even need a programmer to train an AI for many tasks. Who knows where that will be in 20 years.


But what you're saying, which seems to be that technology is getting more accessible over time, does not appear to me to be fundamentally different for other technological means, be it algorithms, ai or digitalization in general.


It is different. Algorithms require understanding what the algorithm does, how it operates. Lay people can't do this without significant training.

AI/ML in principle simply requires example mappings of inputs and outputs. Lay people can do this.




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